• 디지털융복합연구
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• 제11권4호
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• pp.467-472
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• 2013

최근 ICT와 의료 기술 및 서비스의 융합 강도가 높아지면서 ICT 기반 의료기기 및 장비, 소프트웨어, 서비스 개발 등의 부가가치가 높아지고 있다. 본 논문에서는 의료분야 데이터 백업 이슈 등에 대한 시장 환경 분석을 통한 사업 타당성 검토와 클라우드 서비스 비즈니스 거래 유형 분석을 통해 의료 분야의 새로운 융합 비즈니스 모델을 도출하고, 향후 고객 확보 및 시장 확대, 경쟁력 강화 등을 위한 사업화 활용 모델의 개발 방향을 제안한다. 본 연구는 클라우드 서비스의 새로운 융합 비스니스 모델을 설계 할 때 산업의 핵심 역량 강화 전략 및 제휴 연계 전략을 수립하는데 가이드라인을 제공해 줄 것이다.

• 한국IT서비스학회지
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• 제14권2호
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• pp.275-287
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• 2015

Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.

• 디지털융복합연구
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• 제10권6호
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• pp.141-152
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• 2012

본 연구는 컨버전스 유형별 비즈니스모델 개발을 위한 혁신도구 비교 연구이다. 먼저 문헌고찰을 통하여 컨버전스 유형, 비즈니스 모델, 혁신도구에 대한 기존연구를 학습하고. 이를 근거로 컨버전스 환경 하에서 혁신적 비즈니스모델을 개발하기 위해 혁신도구를 이용한 비즈니스모델 개발 개념인 컨버전스-비즈니스-혁신도구 큐브(CBI Cube) 모형을 개발하였다. 이 개념의 구체화를 위해 전문가집단을 대상으로 한 델파이(DelPhi)기법과 AHP기법을 적용하여 CBI Cube 모형의 구성인자를 도출하고 비즈니스모델 개발을 위한 혁신도구의 상대적 우선순위를 비교하였다. 본 연구를 통해 기존 비즈니스모델의 벤치마킹이나 단순 모방의 수준을 넘어 가치혁신형 비즈니스 모델의 개발이 가능하게 되어 혁신 제품 서비스의 개발 및 혁신 시장개발에 보다 쉽게 접근할 수 있게 될 것을 기대한다.

• Korean Journal of Radiology
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• 제25권3호
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• pp.224-242
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• 2024

The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different generative AI models and their potential applications in the field of medicine and explores the evolving landscape of Generative Adversarial Networks and diffusion models since the introduction of generative AI models. These models have made valuable contributions to the field of radiology. Furthermore, this review also explores the significance of synthetic data in addressing privacy concerns and augmenting data diversity and quality within the medical domain, in addition to emphasizing the role of inversion in the investigation of generative models and outlining an approach to replicate this process. We provide an overview of Large Language Models, such as GPTs and bidirectional encoder representations (BERTs), that focus on prominent representatives and discuss recent initiatives involving language-vision models in radiology, including innovative large language and vision assistant for biomedicine (LLaVa-Med), to illustrate their practical application. This comprehensive review offers insights into the wide-ranging applications of generative AI models in clinical research and emphasizes their transformative potential.

• 한국산업융합학회 논문집
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• 제27권2_1호
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• pp.257-268
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• 2024

Soccer is type of sport that carries a high risk of injury. Injury is not only cause in the unlucky soccer carrier and also team performance as well as financial effects can be worse since soccer is a team-based game. The duration of recovery from a soccer injury typically relies on its type and severity. Therefore, we conduct this research in order to predict the probability of players injury type using machine learning technologies in this paper. Furthermore, we compare different machine learning models to find the best fit model. This paper utilizes various supervised classification machine learning models, including Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes. Moreover, based on our finding the KNN and Decision models achieved the highest accuracy rates at 70%, surpassing other models. The Random Forest model followed closely with an accuracy score of 62%. Among the evaluated models, the Naive Bayes model demonstrated the lowest accuracy at 56%. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history.

• Computers and Concrete
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• 제19권6호
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• pp.659-666
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• 2017

Based on the Arrhenius equations, several hydration exothermic models that precisely calculate the influence of concrete's self-temperature duration on its hydration exothermic rate have been presented. However, the models' convergence is difficult to achieve when applied to engineering projects, especially when the activation energy of the Arrhenius equation is precisely considered. Thus, the models' convergence performance should be improved. To solve this problem and apply the model to engineering projects, the relationship between fast iteration and proper expression forms of the adiabatic temperature rise, the coupling relationship between the pipe-cooling and hydration exothermic models, and the influence of concrete's self-temperature duration on its mechanical properties were studied. Based on these results, the rapid convergence of the hydration exothermic model and its coupling with pipe-cooling models were achieved. The calculation results for a particular engineering project show that the improved concrete hydration exothermic model and the corresponding mechanical model can be suitably applied to engineering projects.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.331-331
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• 2022

This research aims to developing new commercialization project of convergence agricultural industrial model. First, we established an inventory for the planning of convergence agricultural industrial model categorize the relevant factors identified, and then suggested three models which are the business profit model for convergence agriculture industrialization, the resource recycling complex and agricultural tourism model, and the smart agricultural model. Second, in order to investigate the feasibility of each industrial model, we investigated the willingness to participate in the project according to the pilot models such as related organizations and management agencies, and proposed the result of business feasibility analysis. Finally, we suggested the establishment of a demonstration complex through the systemization of element technologies at two models. The related systems and technologies was reviewed as a new commercialization plan through the modeling of convergence agricultural industrial types in main crop production complex presented, and set up mid- to long-term development direction. The results of this study can be applied to the design of convergence agricultural industrial model in main crop production complex.

• Journal of applied mathematics & informatics
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• 제31권3_4호
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• pp.457-467
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• 2013

There exist many deterministic models for signaling pathways in systems biology. However the models do not consider the stochastic properties of the pathways, which means the models fit well with experimental data in certain situations but poorly in others. Incorporating stochasticity into deterministic models is one way to handle this problem. In this paper the way is used to produce stochastic models based on the deterministic differential equations for the published extracellular signal-regulated kinase (ERK) pathway. We consider strong convergence and stability of the numerical approximations for the stochastic models.

• 한국융합학회논문지
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• 제6권2호
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• pp.19-24
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• 2015

오늘날에는 산업재해로 인한 장애나 하반신 마비로 자발적으로 움직이지 못하는 사람들이나 재활치료를 받는 사람들이 증가하고 있다. 본 연구에서는 몸이 불편한 사람들이나 노인들을 위한 보행기구를 연구하였으며, 높이에 따른 보행기구들을 설계하고 시뮬레이션 구조 해석을 수행하였다. 보행기구 연구모델들은 CATIA 프로그램으로 3D 모델링하였으며, ANSYS 프로그램을 사용하여 해석을 수행하였다. 해석 결과 항복 응력보다. Model 1, 2 및 3의 최대등가응력이 상당히 작게 나타나서 탄성변형이 일어났고, 본 연구 모델 중 최대 변형량이 가장 작게 나타난 Model 3가 내구성이 가장 좋은 것으로 사료된다. 이러한 본 연구의 결과를 바탕으로 하여 보행기구 모델의 안전성을 예측할 수 있으며, 이 결과를 보행기구의 설계에 응용한다면 그 파손을 방지하고 내구성을 검토할 수 있고 디자인면에서의 융합 기술로의 접목도 가능하여 미적인 감각을 나타낼 수 있다.

• 한국융합학회논문지
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• 제6권1호
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• pp.57-63
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• 2015

본 연구에서는 자동차의 스테빌라이저 링크를 모델로 하여 로워암과 연결되는 곳에 고정을 하고 모멘트를 가한다. Model 1, 2 및 3는 각각 길이 조정형, 일반형 및 일체형들이다. 이 모델들은 CATIA와 ANSYS로 설계 및 강도해석을 통한 융합 기술을 수행함으로서 연구된다. Model 3의 최대 등가응력이 가장 작음으로서 Model 3가 3개의 모델들 중 가장 큰 하중을 견딜 수 있다. 피로 해석으로서는 Model 3가 응력 상태의 빈도수가 일어나는 구간이 가장 작음으로서 세가지 모델 중 가장 안정적이다. 그 다음으로 Model 1, Model 2 순으로 안정적임으로서 응력 상태의 빈도로서 구간 수가 커지고 불안정성이 더 커진다. 그리고 디자인 면에서의 융합 기술로의 접목도 가능하여 미적인 감각을 나타낼 수 있다.